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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-45

  • This period covers praise given between 2024-08-01 and 2024-08-30.
  • We allocated a total of 54752.0 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
96.0 nikolacreatrix#0 for taking the time to go through the added qualitative questions, revising and refining the wording, and ensuring everything was proofread. Your efforts are crucial in helping us gain better insights at the end of each period, which will allow us to improve our processes moving forward. Great work team!
96.0 nikolacreatrix#0 for their patience with the July payment delays as we experienced a significant market dip in the last few weeks. Thank you for understanding the tight situation Giveth faced and for your support in overcoming that. 🙏🏽 Your patience and understanding are greatly appreciated. 💜💜💜
96.0 dearhaija for their work on developing and testing through the integration of coinbase and trust wallets, this will allow more users to interact with Giveth by letting some of the most popular web and mobile wallets be used on Giveth
84.6666666666667 bmeriem for getting Stellar Integration close to completion timeline in such a short timeline and following up on unknowns and Stellar Specific user experiences.
82.0 bmeriem for pushing so hard on Stellar, making websokets in the dapp!! SO COOL!
82.0 bmeriem for working hard to finish up the Stellar staging ASAP so we can get Stellar's input on our work
82.0 .paslar for speedtracking Praise x Farcaster integration while iterating over attestations, payment infra and Farcaster bot integration
80.3333333333333 divine_comedian#0 for handling hours confirmation, reaching out to contributors for proper classification, and for their patience and quick turnaround on reviewing their team's monthly hours report. Thank you for checking accuracy and reasonableness before we process it for payment disbursement. This crucial step is essential to ensuring we pay our contributors correctly and record expenses accurately. Thank you for paying attention to the small and important details. 🙏🏽
77.6666666666667 Amin#2164 for resolving my issues deploying the new resolver contract we need for DeVouch, he allowed us to update the schema using our own contract, increasing our opportunity chances in further retro funding rounds
77.6666666666667 divine_comedian#0 for taking the time to go through the added qualitative questions, revising and refining the wording, and ensuring everything was proofread. Your efforts are crucial in helping us gain better insights at the end of each period, which will allow us to improve our processes moving forward. Great work team!

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

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Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 354 praises, 40 (11.30%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 354 praises, 0 (0.00%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.